GitHub - rnabioco/clustifyrdatahub: External single-cell mRNA sequencing data sets for use with clustifyr (original) (raw)
clustifyrdatahub
clustifyrdatahub provides external reference data sets for cell-type assignment with clustifyr.
Installation
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager")
BiocManager::install("clustifyrdatahub")
Available references include
| Title | Species | Description | RDataPath | BiocVersion | Genome | SourceType | SourceUrl |
|---|---|---|---|---|---|---|---|
| ref_MCA | Mus musculus | Mouse Cell Atlas | clustifyrdatahub/ref_MCA.rda | 3.12 | mm10 | Zip | https://ndownloader.figshare.com/files/10756795 |
| ref_tabula_muris_drop | Mus musculus | Tabula Muris (10X) | clustifyrdatahub/ref_tabula_muris_drop.rda | 3.12 | mm10 | Zip | https://ndownloader.figshare.com/articles/5821263 |
| ref_tabula_muris_facs | Mus musculus | Tabula Muris (SmartSeq2) | clustifyrdatahub/ref_tabula_muris_facs.rda | 3.12 | mm10 | Zip | https://ndownloader.figshare.com/articles/5821263 |
| ref_mouse.rnaseq | Mus musculus | Mouse RNA-seq from 28 cell types | clustifyrdatahub/ref_mouse.rnaseq.rda | 3.12 | mm10 | RDA | https://github.com/dviraran/SingleR/tree/master/data |
| ref_moca_main | Mus musculus | Mouse Organogenesis Cell Atlas (main cell types) | clustifyrdatahub/ref_moca_main.rda | 3.12 | mm10 | RDA | https://oncoscape.v3.sttrcancer.org/atlas.gs.washington.edu.mouse.rna/downloads |
| ref_immgen | Mus musculus | Mouse sorted immune cells | clustifyrdatahub/ref_immgen.rda | 3.12 | mm10 | RDA | https://github.com/dviraran/SingleR/tree/master/data |
| ref_hema_microarray | Homo sapiens | Human hematopoietic cell microarray | clustifyrdatahub/ref_hema_microarray.rda | 3.12 | hg38 | TXT | https://ftp.ncbi.nlm.nih.gov/geo/series/GSE24nnn/GSE24759/matrix/GSE24759_series_matrix.txt.gz |
| ref_cortex_dev | Homo sapiens | Human cortex development scRNA-seq | clustifyrdatahub/ref_cortex_dev.rda | 3.12 | hg38 | TSV | https://cells.ucsc.edu/cortex-dev/exprMatrix.tsv.gz |
| ref_pan_indrop | Homo sapiens | Human pancreatic cell scRNA-seq (inDrop) | clustifyrdatahub/ref_pan_indrop.rda | 3.12 | hg38 | RDA | https://scrnaseq-public-datasets.s3.amazonaws.com/scater-objects/baron-human.rds |
| ref_pan_smartseq2 | Homo sapiens | Human pancreatic cell scRNA-seq (SmartSeq2) | clustifyrdatahub/ref_pan_smartseq2.rda | 3.12 | hg38 | RDA | https://scrnaseq-public-datasets.s3.amazonaws.com/scater-objects/segerstolpe.rds |
| ref_mouse_atlas | Mus musculus | Mouse Atlas scRNA-seq from 321 cell types | clustifyrdatahub/ref_mouse_atlas.rda | 3.12 | mm10 | RDA | https://github.com/rnabioco/scRNA-seq-Cell-Ref-Matrix/blob/master/atlas/musMusculus/MouseAtlas.rda |
To use clustifyrdatahub
library(ExperimentHub) eh <- ExperimentHub()
query
refs <- query(eh, "clustifyrdatahub")
refs
#> ExperimentHub with 11 records
#> # snapshotDate(): 2022-04-26
#> # $dataprovider: figshare, S3, GitHub, GEO, washington.edu, UCSC
#> # $species: Mus musculus, Homo sapiens
#> # $rdataclass: data.frame
#> # additional mcols(): taxonomyid, genome, description,
#> # coordinate_1_based, maintainer, rdatadateadded, preparerclass, tags,
#> # rdatapath, sourceurl, sourcetype
#> # retrieve records with, e.g., 'object[["EH3444"]]'
#>
#> title
#> EH3444 | ref_MCA
#> EH3445 | ref_tabula_muris_drop
#> EH3446 | ref_tabula_muris_facs
#> EH3447 | ref_mouse.rnaseq
#> EH3448 | ref_moca_main
#> ... ...
#> EH3450 | ref_hema_microarray
#> EH3451 | ref_cortex_dev
#> EH3452 | ref_pan_indrop
#> EH3453 | ref_pan_smartseq2
#> EH3779 | ref_mouse_atlas
either by index or id
ref_hema_microarray <- refs[[7]] ## load the first resource in the list ref_hema_microarray <- refs[["EH3450"]] ## load by EH id
or list and load
refs <- listResources(eh, "clustifyrdatahub") ref_hema_microarray <- loadResources(eh, "clustifyrdatahub", "ref_hema_microarray")[[1]]
use for classification of cell types
res <- clustifyr::clustify( input = clustifyr::pbmc_matrix_small, metadata = clustifyr::pbmc_meta$classified, ref_mat = ref_hema_microarray, query_genes = clustifyr::pbmc_vargenes )
or load refs by function name (after loading hub library)
library(clustifyrdatahub) ref_hema_microarray()[1:5, 1:5] ## data are loaded #> Basophils CD4+ Central Memory CD4+ Effector Memory CD8+ Central Memory #> DDR1 6.084244 5.967502 5.933039 6.005278 #> RFC2 6.280044 6.028615 6.047005 5.992979 #> HSPA6 6.535444 5.811475 5.746326 5.928349 #> PAX8 6.669153 5.896401 6.118577 6.270870 #> GUCA1A 5.239230 5.232116 5.206960 5.227415 #> CD8+ Effector Memory #> DDR1 5.895926 #> RFC2 5.942426 #> HSPA6 5.942670 #> PAX8 6.323922 #> GUCA1A 5.090882 ref_hema_microarray(metadata = TRUE) ## only metadata #> ExperimentHub with 1 record #> # snapshotDate(): 2022-04-26 #> # names(): EH3450 #> # package(): clustifyrdatahub #> # $dataprovider: GEO #> # $species: Homo sapiens #> # $rdataclass: data.frame #> # $rdatadateadded: 2020-05-14 #> # $title: ref_hema_microarray #> # $description: Human hematopoietic cell microarray #> # $taxonomyid: 9606 #> # $genome: hg38 #> # $sourcetype: TXT #> # $sourceurl: https://ftp.ncbi.nlm.nih.gov/geo/series/GSE24nnn/GSE24759/matr... #> # $sourcesize: NA #> # $tags: c("SingleCellData", "SequencingData", "MicroarrayData", #> # "ExperimentHub") #> # retrieve record with 'object[["EH3450"]]'
Data sets have uniform suffixes: - ref_* : the prebuilt reference expression matrix.